06:00 UTC
Google Ad Manager
Selected accounts
Configured job
PostgreSQL
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Google Ad Manager
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.
Authorize Google Ad Manager through OAuth, save your PostgreSQL connection details, then pair both systems in a datastream and choose the report fields to load into your destination table.
Build PostgreSQL tables with supported Google Ad Manager metrics such as total revenue, Ad server revenue, Ad Exchange CPC, and CTR, alongside dimensions such as date, country, inventory type, and content source name.
A PostgreSQL job can start with historical Google Ad Manager report data and continue with recurring loads. Available history and scheduling frequency depend on the source API and your Catchr plan.
Choose a supported date field, such as Date, when configuring the PostgreSQL job. Catchr deletes and rewrites the scheduled date window to help limit duplicate rows when loads overlap.
Query revenue and CTR by date, country, inventory type, or content source, then create reusable PostgreSQL views for agency reports, client dashboards, and analysis tools.
Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.
Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.
Our teams is always here to responds to any question you could have about our data connector.
Connect your marketing platforms and build a data workflow your entire agency can use.
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